Comparison of random survival forest and Cox regression for long-term prognosis of pediatric Wilms tumor: based on the SEER database and external validation cohort from China.

ABSTRACT:

Background

Wilms tumor (WT) is the most common malignant renal tumor in children. Despite advances in treatment, accurate prediction of the long-term prognosis remains challenging. Various Cox regression-based models have been developed to assess WT survival rates; however, there is a pressing need for more precise tools.

Methods

Data from the SEER database (2000-2021) and external validation data from Chongqing Medical University Children's Hospital were utilized. Key prognostic factors for children with WT were identified via last absolute shrinkage and selection operator (LASSO) regression, which was subsequently used to construct the Random Survival Forest(RSF) model for long-term survival prediction. SHAP were applied to enhance the interpretability of the model. The mo

SUBMITTER: Fang H 

PROVIDER: S-EPMC12474808 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature